Machine Learning Engineer · Mid-Level (1 YOE)
Location: San Francisco Bay AreaReport date: Mar 8, 2026Equity includedBonus included
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The assessment was similar to an in-memory database, and I was told there are similar questions online. The task was to implement add, delete, lock, and unlock operations for a record, using only 1-2 hash maps. I was told that the problem itself may have error...
I was initially told by HR that the interview would cover supply chain domain knowledge, operational fundamentals, and planning. However, the interviewer, a SWE with one year of experience at Meta, skipped all supply chain-related and behavioral questions. Aft...
In my phone interview, I was asked about the architecture of recommender systems. I was also asked about the classic nearby location recommendation scenario. Key topics included: * **Core Four-Stage Framework:** * Retrieval/Candidate Generation: Two-Tower mode...
My onsite interview consisted of multiple rounds. There were two behavioral rounds, with one of them not counting towards the final result. I had two coding rounds with four questions total. The questions were LeetCode 30, LeetCode 128, LeetCode 207, and LeetC...
My first onsite interview consisted of two coding questions. The first question was to find the peak element, which is a medium difficulty problem, similar to leetcode 162. The second question was word abbreviation, a hard problem, similar to leetcode 527.